CECS Professional Skills Mapping

ENGN2219 — Computer Architecture and Simulation

code: ENGN2219
name: Computer Architecture and Simulation
unit value: 6
description: The course discusses computer hardware related topics as well as simulation aspects of computer science. The foundations from Comp1730 are widened towards the hardware and the tool-chains required to deploy systems on actual devices are explored. The course also expands towards simulation of those devices and physical systems. This course involves experimentation on physical hardware.

In particular, the course will cover:
- the connection between digital logic and its physical implementations;
- basic machine level programs incl. sub-routines and I/O;
- the translation of high-level language constructs to machine instructions (yet not writing a compiler);
- memory hierarchies;
- physical interfaces to digital systems;
- the relation between physical systems, models, simulation, verification and validation;
- practical uses of simulation.

Simulation case studies will be taken from practical Engineering scenarios
P&C: https://programsandcourses.anu.edu.au/course/ENGN2219
course learning outcomes:
  1. Understand the connection between digital logic and its physical implementations and identify the components of a computer (incl. structures inside the CPU)
  2. Ability to convert data into machine readable formats and choose an adequate format for a given problem as well as design and implement basic machine level programs incl. sub-routines and I/O
  3. Utilise a macro-assembly language (e.g. C) to structure machine level programs and map high-level language constructs to machine level implementations
  4. Be familiar with the concept of memory hierarchy; Be familiar with basic physical implementations of I/O systems (e.g. busses)
  5. Understand the relation between physical systems, models, simulation, verification and validation
  6. Design a model and an accompanying simulation for a relevant engineering problem
  7. Evaluate a simulation, highlighting the benefits and the drawbacks; Make decisions about the balance between physical experimentation and computational simulations
assessment:
  1. Assignment 1 (6%)
  2. Assignment 2 (12%)
  3. Assignment 3 (12%)
  4. Labtest (2%)
  5. Mid-semester exam (18%)
  6. Final exam (50%)

Mapped learning outcomes

learning outcome1. KNOWLEDGE AND SKILL BASE2. ENGINEERING APPLICATION ABILITY3. PROFESSIONAL AND PERSONAL ATTRIBUTESassessment tasks
1.11.21.31.41.51.62.12.22.32.43.13.23.33.43.53.6123456
  1. Understand the connection between digital logic and its physical implementations and identify the components of a computer (incl. structures inside the CPU)
  1. Ability to convert data into machine readable formats and choose an adequate format for a given problem as well as design and implement basic machine level programs incl. sub-routines and I/O
  1. Utilise a macro-assembly language (e.g. C) to structure machine level programs and map high-level language constructs to machine level implementations
  1. Be familiar with the concept of memory hierarchy; Be familiar with basic physical implementations of I/O systems (e.g. busses)
  1. Understand the relation between physical systems, models, simulation, verification and validation
  1. Design a model and an accompanying simulation for a relevant engineering problem
  1. Evaluate a simulation, highlighting the benefits and the drawbacks; Make decisions about the balance between physical experimentation and computational simulations

Course contribution towards the Engineers Australia Stage 1 Competency Standard

This table depicts the relative contribution of this course towards the Engineers Australia Stage 1 Competency Standard. Note that this illustration is indicative only, and may not take into account any recent changes to the course. You are advised to review the official course page on P&C for current information..

1. KNOWLEDGE AND SKILL BASE
1.1
 
1.2
 
1.3
1.4
1.5
1.6
2. ENGINEERING APPLICATION ABILITY
2.1
 
2.2
 
2.3
2.4
3. PROFESSIONAL AND PERSONAL ATTRIBUTES
3.1
3.2
3.3
3.4
3.5
3.6

Engineers Australia Stage 1 Competency Standard — summary

1. KNOWLEDGE AND SKILL BASE
1.1Comprehensive, theory based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline.
1.2Conceptual understanding of the, mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline.
1.3In depth understanding of specialist bodies of knowledge within the engineering discipline.
1.4Discernment of knowledge development and research directions within the engineering discipline.
1.5Knowledge of contextual factors impacting the engineering discipline.
1.6Understanding of the scope, principles, norms, accountabilities and bounds of contemporary engineering practice in the engineering discipline.
2. ENGINEERING APPLICATION ABILITY
2.1Application of established engineering methods to complex engineering problem solving.
2.2Fluent application of engineering techniques, tools and resources.
2.3Application of systematic engineering synthesis and design processes.
2.4Application of systematic approaches to the conduct and management of engineering projects.
3. PROFESSIONAL AND PERSONAL ATTRIBUTES
3.1Ethical conduct and professional accountability.
3.2Effective oral and written communication in professional and lay domains.
3.3Creative, innovative and pro-active demeanour.
3.4Professional use and management of information.
3.5Orderly management of self, and professional conduct.
3.6Effective team membership and team leadership.

Updated:  18 February 2021/ Responsible Officer:  Dean, CECS/ Page Contact:  CECS Academic Education Services